Automotive

Shorter and more cost-effective design cycles

The use of VR technology in virtual prototyping is becoming increasingly important. Over the past years, Virtual Reality has become the standard in prototyping, with companies having discovered the many advantages of these system, both in cost-reduction and shortened time-to-market. With the introduction of increasingly advanced virtualization software and projection technologies (including laser projection), the virtual prototypes have become very true-to-life, making them excellent for testing.

Insight for engineering in complex problems and solution validation

Engineering and design are no longer two different worlds. When creating a new car concept, it has become important that both disciplines work closely together to deliver the most optimal result - resulting in increased comfort for the driver and passengers, and better car performance. Virtual Reality brings designers and engineers together, making them better understand each other in an early phase of the project.
What's more, Virtual Reality has also found its way into manufacturing. It is used to qualify the readiness of the product, verify the assembly and the match of all different components upfront, and verify the readiness of the production line. This can be done using compact displays for quick verification to advanced Powerwall or Cave solutions for deep diving analysis. Large mono canvas systems are used for improved milestone meetings, whereas 3D stereo is preferred for detailed insight and solution validation.

Enhance collaboration - both inside and outside the organization

Working with the same data set at the same time: it sounds logical, but using conventional systems it was too often very difficult - especially when working in different sites, and with multiple stakeholders. Working with different data sets can delay the prototype by months, so the use of central data is very important. Using advanced Virtual Reality technology makes sure everybody looks at the data in a similar way, considering the impact of the visual system. This includes the challenges related to applying the design on detailed mono 4K data sets, on 4K stereo sets, on cave data, on how to overview the rendering farms, etc.